Tóth, J., Tomán, H., Hajdu, G., Hajdu, A.: Using Noisy Evaluation to Accelerate Parameter Optimization of Medical Image Segmentation Ensembles.
Mathematics. 11 (18), 1-17, 2023.

Hajdu, A., Terdik, G., Tiba, A., Tomán, H.: A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning.
Mach. Learn. 111 1551-1595, 2022.

Bogacsovics, G., Hajdu, A., Lakatos, R., Beregi-Kovács, M., Tiba, A., Tomán, H.: Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy.
Ann. Math. Inform. 53 73-91, 2021.

Tóth, J., Tomán, H., Hajdu, A.: Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing.
Pattern Recognit. 107 1-12, 2020.

Tóth, J., Kapusi, T., Harangi, B., Tomán, H., Hajdu, A.: Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids.
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019). Eds.: S. Lončarić, R. Bregović, M. Carli, M. Subašić, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 43-48, 2019. ISBN: 9781728131405

Tiba, A., Bartik, Z., Tomán, H., Hajdu, A.: Detecting outlier and poor quality medical images with an ensemble-based deep learning system.
In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Ieee-Inst Electrical Electronics Engineers Inc, Piscataway, 99-104, 2019. ISBN: 9781728131405

Tiba, A., Hajdu, A., Terdik, G., Tomán, H.: Optimizing Majority Voting Based Systems Under a Resource Constraint for Multiclass Problems.
In: Progress in Industrial Mathematics at ECMI 2018. Ed.: István Faragó, Ferenc Izsák, Péter L. Simon, Springer, Cham, 529-534, 2019, (Mathematics in Industry ; 30.)(The European Consortium for Mathematics in Industry ; 30.) ISBN: 9783030275495

Papp, I., Tomán, H., Kunkli, R., Bodroginé Zichar, M.: Digitális technológiák oktatása a fogorvosképzésben.
IME. 16 (2), 27-31, 2017.

Hajdu, A., Tomán, H., Kovács, L., Hajdu, L.: Composing ensembles by stochastic approach under execution time constraint.
In: Proceedings of the 23rd International Conference on Pattern Recognition (ICPR 2016), Cancun, Mexico, 2016, IEEE, [Piscataway], 222-227, 2016.

Papp, I., Tomán, H., Kunkli, R., Bodroginé Zichar, M.: Korszerű technológiák megjelenése a fogorvosképzésben.
In: Matematikát, Fizikát és Informatikát Oktatók 40. Országos Konferenciája [elektronikus dokumentum] / Hajnal Éva, Orosz Gábor Tamás, Óbudai Egyetem Alba Regia Műszaki Kar, Székesfehérvár, 245-250, 2016. ISBN: 9786155460821

Papp, I., Tomán, H., Kunkli, R., Bodroginé Zichar, M.: Alkalmazott informatika a fogorvosképzésben.
In: Új alapokon az egészségügyi informatika : A XXVIII. Neumann Kollokvium konferencia-kiadványa, Pannon Egyetem, Veszprém, 2015. november 20-21.. Szerk.: Kósa István, Vassányi István, Neumann János Számítógép-tudományi Társaság, [Budapest], 26-31, 2015. ISBN: 9786155036101

Tóth, J., Tomán, H., Hajdu, A.: Improving the Performance of an Ensemble-Based Exudate Detection System using Stochastic Parameter Optimization.
In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Eds.: Sergio Cerutti, Paolo Bonato, Institute of Electrical and Electronics Engineers (IEEE), Seattle (WA), USA, 5243-5246, 2015.

Papp, I., Tomán, H.: On experiences about teaching computer engineering.
In: Visual Methods in Engineer and Teacher Education in Science : abstracts, [s.n.], [s.l.], 11, 2014.

Hajdu, A., Hajdu, L., Kovács, L., Tomán, H.: Diversity measures for majority voting in the spatial domain.
In: Hybrid Artificial Intelligent Systems : 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings, Springer-Verlag, Berlin Heidelberg, 314-323, 2013, (Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 8073) ISBN: 9783642408458

Hajdu, A., Hajdu, L., Jónás, Á., Kovács, L., Tomán, H.: Generalizing the majority voting scheme to spatially constrained voting.
IEEE Trans. Image Process. 22 (11), 4182-4194, 2013.

Szeghalmy, S., Tomán, H., Hajdu, A.: Detecting Digital Intersections Using Line Approximation.
In: Proceedings of the 8th International Conference on Applied Informatics (ICAI2010) Vol. 1. / edited by Attila Egri-Nagy, Emőd Kovács, Gergely Kovásznai, Gábor Kusper, Tibor Tómács, Eszterházy Károly Főiskola, Eger, 193-202, 2011. ISBN: 9789639894723

Tomán, H., Kovács, L., Jónás, Á., Hajdu, L., Hajdu, A.: Generalized Weighted Majority Voting with an Application to Algorithms Having Spatial Output.
In: Hybrid Artificial Intelligent Systems. Ed.: Emilio Corchado, Václav Snášel, Ajith Abraham, Michał Woźniak, Manuel Graña, Sung-Bae Cho, Springer-Verlag Berlin Heidelberg, Heidelberg, 56-67, 2012, (Lecture Notes in Computer Science ; 7209) ISBN: 9783642289309

Tomán, H., Kovács, L., Jónás, Á., Hajdu, L., Hajdu, A.: A Generalization of Majority Voting Scheme for Medical Image Detectors.
In: Hybrid Artificial Intelligent Systems : 6th international conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011; proceedings. Eds.: Emilio Corchado, Marek Kurzynski, Michal Wozniak, Springer, Heidelberg [etc.], 189-196, 2011, (Lecture Notes in Computer Science ; 6679.) ISBN: 9783642212215

Tomán, H., Hajdu, A., Szakács, J., Hornyik, D., Csutak, A., Pető, T.: Thickness-based binary morphological improvement of distorted digital line intersections.
In: Proceedings of the Fifth Hungarian Conference on Computer Graphics and Geometry, SZTAKI, Budapest, 133-139, 2010.

Tomán, H., Tornai, R., Bodroginé Zichar, M.: New DTI visualization methods.
In: Proceedings of the 13th International Conference on Geometry and Graphics : August 4-8, 2008, Dresden (Germany) / [közread. ICGG], [ICGG], Dresden, 241-246, 2008.

Tomán, H., Tornai, R., Bodroginé Zichar, M.: Complex fiber visualization.
Ann. Math. Inform. 34 103-109, 2007.

Tomán, H.: On n-loops and (n+1)-webs.
In: Proceedings of the 26th Conference on Geometry and Computer Graphics, Nové Mesto na Morave / (ed.) Jihoceska Univerzita v Ceskych Budejovicich, JCMF, Ceské Budejovice, 259-264, 2006.

Tomán, H.: Canonical coordinate systems and exponential maps of n-loop.
Note Mat. 24 (2), 1-7, 2005.

Papp, I., Tomán, H.: Experiences about the mathematical and geometrical courses for the student on faculty of informatics.
In: 5th international conference on applied informatics : January 28-February 3, 2001 Eger, Hungary. Ed.: by Emőd Kovács, Zoltán Winkler, Molnár és Társa'2001' Kft., Eger, 225-228, 2001.